Analysis of Factors Influencing Urban Population Change in Dongguan Based on LassoCV & R Cluster Analysis
The issue of aging population has become a major issue in China's current economic and social development.With the fierce competition for talent in major cities,analyzing and discovering the factors affecting the attractiveness of urban population has certain practical significance.A reasonable and simple set of influencing factor variables from high-dimensional datasets of urban influencing factors is extracted using LassoCV,while the numerical performance and generalization ability of the model is ensured.The R-type clustering was used to classify the influencing factors positively correlated with the target variable,resulting in a clearer structure of the screening variable set.Finally,based on the findings,several suggestions are proposed to enhance the attractiveness of Dongguans population.
population agingurban attractivenesspopulation policyLassoCVR-type clustering
NETL
NSTL
万方数据
